Hi, I'm

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Software Engineer with 4+ years building scalable backend platforms across healthcare and supply chain — from EHR integrations and clinical AI copilots to inventory, forecasting, and logistics automation.

Healthcare & FHIRPython & FastAPILLM & RAGKafka & SparkAWS & Kubernetes
USA+1 (773) 930-2475
Profile

How I work & what I bring

A quick snapshot for hiring managers — details in experience and skills.

I'm a Software Engineer with 4+ years of experience building scalable backend platforms across supply chain logistics and healthcare technology.

I began my career modernizing inventory, forecasting, routing, and warehouse systems — automating operations across 10+ warehouses and reducing logistics costs while improving fulfillment efficiency.

I progressed into healthcare engineering at Abridge, building distributed platforms that centralize patient records and AI copilots that reduce physician documentation workload.

I'm known for owning complex systems, partnering cross-functionally, and delivering measurable impact on reliability, latency, and cost.

Software Engineer

Healthcare · Supply Chain · AI

Illinois Institute of Technology

Education

M.S. in Computer Science, Illinois Institute of Technology (Aug 2023 – May 2025)

Experience

4+ years across healthcare tech, supply chain logistics, and cloud data platforms

Healthcare

EHR/FHIR integrations, clinical AI copilots, HIPAA-compliant distributed systems

Impact

Owning complex systems end-to-end — latency, cost, compliance, and cross-functional delivery

Experience

Professional Journey

Full-time and internship roles — impact metrics up front so recruiters can skim in under a minute.

Software Engineer

Abridge
Full-time
Jan 2025 – PresentRemote, USA

Patient records

400K+

Clinical events / day

300K+

Monthly interactions

50K+

Uptime

99.99%

Highlights & scope

  • Architect scalable microservices and backend platforms integrating fragmented EHR, lab, imaging, pharmacy, and insurance systems using Python, FastAPI, Apache Spark, SQL, FHIR, and HL7, centralizing 400K+ patient records.
  • Engineer high-throughput distributed systems using Amazon S3, PostgreSQL, Snowflake, Redis, Apache Kafka, and ETL frameworks to process 300K+ clinical events daily, reducing retrieval latency and eliminating manual workflows.
  • Build low-latency REST APIs and AI healthcare copilots using OpenAI GPT-4o, Anthropic Claude, Llama 3, LangChain, RAG, and Pinecone, reducing physician documentation workload while accelerating treatment recommendations.
  • Develop event-driven backend systems using LangGraph, function calling, asynchronous workflows, caching layers, and distributed orchestration frameworks to automate patient summaries across 50K+ monthly clinical interactions.
  • Partner with physicians, product leaders, and compliance teams to deploy predictive healthcare models using XGBoost, TensorFlow, and Scikit-learn, improving diagnosis speed and increasing hospital throughput.
  • Lead cloud infrastructure scalability using AWS EKS, Docker, Kubernetes, Terraform, CI/CD, CloudWatch, encryption, audit logging, and HIPAA compliance, maintaining 99.99% uptime while reducing infrastructure costs 25%.
PythonFastAPIFHIRHL7LangChainLangGraphOpenAI GPT-4oKafkaPostgreSQLSnowflakeAWS EKSKubernetesTerraform

Software Engineer

Virtualan Software LLC
Internship
May 2024 – Aug 2024Chicago, IL

Daily records

10K+

Test coverage

+35%

Stack

ETL + APIs

Cloud

AWS S3

Highlights & scope

  • Engineered scalable backend ETL pipelines using Python, SQL, AWS S3, and Redshift, processing 10K+ daily records, optimizing cloud data workflows, and reducing reporting latency across critical analytics systems.
  • Built and optimized RESTful APIs using Python, SQL, Postman, and Swagger, improving API reliability, increasing test coverage by 35%, and accelerating backend integrations across cross-functional engineering teams.
  • Implemented secure backend systems through RBAC, data validation, code reviews, and Agile deployment workflows, reducing production defects while accelerating feature releases across production environments.
PythonSQLAWS S3RedshiftREST APIsPostmanSwaggerRBACAgile

Software Engineer

Hexaware Technologies
Full-time
Mar 2021 – Jul 2023Chennai, India

Warehouses

10+

Inventory visibility

+60%

Shipment events

50K+/yr

Annual savings

$100K

Highlights & scope

  • Architected scalable inventory management microservices using Java, Spring Boot, REST APIs, and PostgreSQL across 10+ warehouses, replacing manual planning workflows and improving inventory visibility by 60%.
  • Engineered demand forecasting pipelines using Python, Apache Spark, SQL, and statistical models to analyze 150K+ historical orders, reducing stockouts while improving inventory utilization.
  • Built event-driven distributed systems using Java, Spring Boot, Apache Kafka, Redis, and AWS to process 50K+ annual shipment events, reducing logistics visibility delays by 40%.
  • Designed real-time route optimization services using Python, optimization algorithms, SQL, and geospatial APIs to automate delivery planning, reducing transportation costs and improving delivery efficiency.
  • Led warehouse modernization initiatives using Docker, Kubernetes, RabbitMQ, and AWS automation workflows, streamlining fulfillment operations and improving scalability during demand spikes.
  • Partnered with operations, logistics, and supply chain leadership to modernize manual fulfillment workflows through cloud automation platforms, reducing delivery delays and saving $100K annually.
JavaSpring BootPythonApache SparkKafkaPostgreSQLRedisDockerKubernetesAWS
Skills & Technologies

Technical Expertise

Keyword-aligned for ATS and recruiter search — maps directly to the stacks in my experience.

Programming Languages

JavaPythonSQLJavaScriptTypeScriptGo

Backend Engineering

Spring BootFastAPIREST APIsMicroservicesDistributed SystemsEvent-Driven ArchitectureAsynchronous ProcessingSystem Design

AI & Machine Learning

OpenAI GPT-4oAnthropic ClaudeLlama 3LangChainLangGraphRAGPineconeXGBoostTensorFlowScikit-learn

Data Engineering

Apache SparkETLPostgreSQLSnowflakeRedisData Pipelines

Cloud & DevOps

AWSEKSAmazon S3DockerKubernetesTerraformCI/CDCloudWatch

Healthcare Technologies

FHIRHL7EHREMRHIPAAAudit LoggingEncryption

Supply Chain & Logistics

Inventory ManagementDemand ForecastingRoute OptimizationGeospatial APIsWarehouse Automation

Streaming & Engineering

Apache KafkaRabbitMQAgilePerformance OptimizationScalability
Projects

Featured Projects

Production-style healthcare work at the top; open-source and academic projects below — each lists stack for fast screening.

Current focus

Healthcare AI Copilot & Clinical Data Platform

2025 – Present

10 technologies

Production healthcare platform integrating EHR, lab, imaging, and pharmacy systems with FHIR/HL7. FastAPI microservices, Kafka event pipelines, Snowflake analytics, and LLM copilots (GPT-4o, Claude, RAG + Pinecone) for physician documentation — deployed on AWS EKS with HIPAA-compliant infrastructure.

PythonFastAPIFHIRLangChainLangGraphKafkaPostgreSQLSnowflakeAWS EKSKubernetes

Call Center Analytics Dashboard

Nov 2025

7 technologies

Full-stack AI dashboard analyzing 451 call center interactions with TypeScript, Express, React, and Gemini 2.5 — surfacing LLM insights, funnels, and revenue modeling for coaching and pattern detection.

ReactTypeScriptExpress.jsGemini 2.5TailwindRechartsNode.js
View on GitHub

RAG-Based Chatbot with AgentCore

Oct 2025

5 technologies

Custom RAG chatbot on AWS Bedrock and AgentCore for domain-specific Q&A over PDFs and text files — embedding pipelines, retrieval logic, and a Python interface for real-time agent invocation.

PythonAWS BedrockAgentCoreEmbeddingsRetrieval Pipelines
View on GitHub

AI Guest Concierge Agent

Jul 2025

6 technologies

AI concierge answering guest questions and automating workflows with a RAG pipeline on Pinecone + Supabase, reducing manual support load via REST API integrations.

PythonRAGPineconeSupabasen8nREST APIs
View on GitHub

Real-Time Hand Sign Detection System

Jan 2025

4 technologies

Real-time gesture recognition detecting 36 hand signs at 90%+ accuracy using MediaPipe landmarks and a TensorFlow classifier — modular pipeline for retraining and deployment.

PythonTensorFlowMediaPipeOpenCV
View on GitHub

Traffic Management System (CLI Analytics Tool)

Mar 2024

3 technologies

Python + SQL CLI analytics tool for traffic incident, vehicle, road, and signal datasets — normalized schemas and query-driven workflows for violation density and route throughput analysis.

PythonSQLData Modeling
Timeline

Career Progression

From supply chain modernization to healthcare AI — a clear arc of backend ownership and impact.

2021 – 2023

Supply Chain & Logistics — Hexaware

  • Architected inventory, forecasting, and route optimization systems across 10+ warehouses.
  • Built event-driven platforms with Kafka and AWS — $100K annual savings and 40% faster logistics visibility.

2023 – 2025

Graduate Studies — Illinois Institute of Technology

  • M.S. in Computer Science while strengthening distributed systems, ML, and scalable engineering.
  • Internship at Virtualan: ETL pipelines and REST APIs on AWS (10K+ daily records).

2025 – Present

Healthcare Platforms — Abridge

  • Integrating EHR, lab, imaging, and pharmacy systems — 400K+ patient records centralized.
  • Building clinical AI copilots, RAG pipelines, and HIPAA-compliant infrastructure at 99.99% uptime.
Education

Academic Background

Master's in Computer Science (Aug 2023 – May 2025) — complements production experience in healthcare and distributed systems.

Master of Science in Computer Science

Master's

Illinois Institute of Technology

Aug 2023 – May 2025

Chicago, IL

Key Coursework

Machine LearningDeep LearningData StructuresAlgorithmsAI EthicsSoftware Engineering

Graduate studies emphasizing artificial intelligence, machine learning, and building reliable, scalable software systems.

Academic Highlights

Master of Science in Computer Science

Illinois Institute of Technology, Chicago, IL — Aug 2023 to May 2025

Technical depth

Coursework spanning ML, distributed systems, and software engineering practice

Career bridge

Graduate studies paired with full-time healthcare and supply chain engineering experience

Hiring & collaborations

Let's talk

Open to backend, platform, healthcare, and AI/LLM engineering roles. I typically respond within a day.

Availability

Monday – Friday

9:00 AM – 6:00 PM CST

Usually responds within 24 hours

Send me a message

Have a role or project in mind? Let's connect.